package com.atguigu.gulimall.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.atguigu.common.to.es.SkuEsModel;
import com.atguigu.common.utils.R;
import com.atguigu.gulimall.search.config.GulimalElasticsearchConfig;
import com.atguigu.gulimall.search.constant.EsConstant;
import com.atguigu.gulimall.search.feign.ProductFeignService;
import com.atguigu.gulimall.search.service.MallService;
import com.atguigu.gulimall.search.vo.AttrResponseVo;
import com.atguigu.gulimall.search.vo.BrandVo;
import com.atguigu.gulimall.search.vo.SearchParam;
import com.atguigu.gulimall.search.vo.SearchResult;
import org.apache.commons.lang.StringUtils;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallServiceImpl implements MallService {
    @Autowired
    private RestHighLevelClient client;

    @Autowired
    private ProductFeignService productFeignService;


    /**
     * 查询es，并返回搜索结果
     *
     * @param searchParam
     * @return
     */
    @Override
    public SearchResult search(SearchParam searchParam) {
        //动态构建出查询需要的DSL语句
        SearchResult result = null;
        //1.准备检索请求
        SearchRequest searchRequest = buildSearchRequest(searchParam);
        //2.执行检索操作
        try { //c127-4:10
            SearchResponse response = client.search(searchRequest, GulimalElasticsearchConfig.COMMON_OPTIONS);

            //3.分析响应数据封装成我们需要的格式
            result = buildSearchResult(response, searchParam);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 准备检索请求
     */
    private SearchRequest buildSearchRequest(SearchParam searchParam) {
        //构建DSL语句
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /*
            模糊匹配查询：过滤（按照属性，分类，品牌，价格区间，库存）
         */
        //1、构建bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1、must 模糊匹配
        if (!StringUtils.isEmpty(searchParam.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", searchParam.getKeyword()));
        }
        //1.2、bool - filter 按照三级分类id查询
        if (searchParam.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", searchParam.getCatalog3Id()));
        }
        //1.2、bool - filter 按照品牌id查询
        if (searchParam.getBrandId() != null) {
            boolQuery.filter(QueryBuilders.termsQuery("brandId", searchParam.getBrandId()));
        }
        //1.2、bool - filter 按照所有指定的属性查询
        if (searchParam.getAttrs() != null && searchParam.getAttrs().size() > 0) {
            for (String attr : searchParam.getAttrs()) {
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();
                String[] s = attr.split("_");
                String attrId = s[0];       //检索的属性id
                String[] attrValues = s[1].split(":"); //检索的属性值
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                //构建嵌入式Query
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attrs", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }

        }

        //1.2、bool - filter 按照是否有库存查询
        if (searchParam.getHasStock() != null) {
            boolQuery.filter(QueryBuilders.termQuery("hasStock", searchParam.getHasStock() == 1));
        }


        //1.2、bool - filter 按照价格区间过滤
        if (!StringUtils.isEmpty(searchParam.getSkuPrice())) {
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");

            String[] s = searchParam.getSkuPrice().split("_");
            if (s.length == 2) {
                //代表是区间查询  2000<= skuPrice <=6000?
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                //代表不是区间查询  <2000?   >2000?
                if (searchParam.getSkuPrice().startsWith("_")) {
                    //   小于2000？
                    rangeQuery.lte(s[0]);
                }
                if (searchParam.getSkuPrice().endsWith("_")) {
                    //   大于2000？
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        //把以前所有查询条件都拿来进行封装
        sourceBuilder.query(boolQuery);

        /*
            排序，分页，高亮
         */

        //2.1 排序
        if (!StringUtils.isEmpty(searchParam.getSort())) {
            String sort = searchParam.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0], order);
        }
        //2.2 分页
        sourceBuilder.from((searchParam.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //2.3 高亮
        if (!StringUtils.isEmpty(searchParam.getKeyword())) {
            HighlightBuilder highkight = new HighlightBuilder();
            highkight.field("skuTitle");
            highkight.preTags("<b style='color:red'>");
            highkight.postTags("</b>");
            sourceBuilder.highlighter(highkight);
        }

        /*
           聚合分析
         */
        //1.品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg").field("brandId").size(50);
        //21.1聚合品牌名称
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName")).size(1);
        //1.2聚合品牌logo
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg")).size(1);
        //1.3添加品牌聚合
        sourceBuilder.aggregation(brand_agg);

        //2.分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        //2.1聚合分类名称
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName")).size(1);
        //2.2添加分类聚合
        sourceBuilder.aggregation(catalog_agg);

        //3.属性聚合 attr_agg
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //3.1聚合出当前所有的attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //3.2聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);
        //3.3聚合分析出当前attr_id对应的所有可能的属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue")).size(50);
        //3.4将小聚合放入大聚合
        attr_agg.subAggregation(attr_id_agg);
        //3.5添加属性聚合查询
        sourceBuilder.aggregation(attr_agg);

        System.out.println("构建的DSL：" + sourceBuilder.toString());
        return searchRequest;
    }

    /**
     * 构建结果数据
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam searchParam) {
        SearchResult result = new SearchResult();
        //1、返回的所有查询到的商品数据
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        for (SearchHit hit : hits.getHits()) {
            SkuEsModel skuEsModel = JSON.parseObject(hit.getSourceAsString(), SkuEsModel.class);
            if (!StringUtils.isEmpty(searchParam.getKeyword())) {
                HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                String highlightTitle = skuTitle.getFragments()[0].string();
                skuEsModel.setSkuTitle(highlightTitle);
            }
            esModels.add(skuEsModel);
        }
        result.setProducts(esModels);

        //2、当前所有商品涉及到的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //1、得到属性id
            long attrId = bucket.getKeyAsNumber().longValue();
            //2、得到属性名称
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            //3、得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);

            attrVos.add(attrVo);
        }
        result.setAttrs(attrVos);
        //3、当前所有商品涉及到的所有品牌信息
        ArrayList<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1。得到品牌id
            long brandId = bucket.getKeyAsNumber().longValue();
            //2、得到品牌名称
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //3、得到品牌图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);


        //4、当前所有商品涉及到的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            //得到分类Id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名称
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);

        //    *********** 以上是聚合信息
        //5、分页信息 - 页码
        result.setPageNum(searchParam.getPageNum());
        //6、分页信息 - 总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //7、分页信息 - 总页码
        int totalPages = (int) total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : (int) total / EsConstant.PRODUCT_PAGESIZE;
        result.setTotalPages(totalPages);
        //8、分页导航页码
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 1; i <= totalPages; i++) {
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //9、构建面包屑导航
        if(searchParam.getAttrs()!=null && searchParam.getAttrs().size()>0){
            List<SearchResult.NavVo> navVos = searchParam.getAttrs().stream().map(attr -> {
                //①分析每个attrs传过来的查询参数值
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attrInfo(Long.parseLong(s[0]));
                result.getAttrIds().add(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });
                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);
                }
                //2、取消了这个面包屑之后跳转到哪个地方,将请求地址中的url里面的置空
                //拿到所有所有查询条件，去掉当前的attrs
                String replace = replaceQueryString(searchParam, attr,"attrs");
                    navVo.setLink("http://search.gulimall.com/list.html?"+replace);

                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(navVos);
        }

        //10、品牌、分类
        if(searchParam.getBrandId()!=null && searchParam.getBrandId().size()>0){
            List<SearchResult.NavVo> navs = result.getNavs();
            SearchResult.NavVo navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            //TODO远程查询所有品牌
            R r = productFeignService.brandsInfo(searchParam.getBrandId());
            if(r.getCode() == 0){
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuffer buffer = new StringBuffer();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    buffer.append(brandVo.getBrandName()+"");
                    replace = replaceQueryString(searchParam,brandVo.getBrandId()+"","brandId");
                }
                navVo.setNavValue(buffer.toString());
                navVo.setLink("http://search.gulimall.com/list.html?"+replace);
            }
            navs.add(navVo);
        }
        // TODO 分类，不需要导航取消

        return result;
    }

    private String replaceQueryString(SearchParam searchParam, String value,String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value,"UTF-8");
            //浏览器和java对空格的编码不一致  浏览器的+号是%20
            encode = encode.replace("+","%20");
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        return searchParam.get_queryString().replace("&"+key+"="+encode,"");
    }


}
